Machine Learning Uganda Borehole Failure


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Resource type: Composite Resource
Storage: The size of this resource is 39.8 MB
Created: Mar 27, 2019 at 11:15 p.m.
Last updated: Mar 29, 2019 at 7:14 p.m.
DOI: 10.4211/hs.cf0e4c7d6a41457ebcea2ffc397b712d
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

Do water borehole failures, in Uganda, correlate with geographic details, population, or political reasons? Is there a trend based on which orgnization oversaw the installation or raised the capital? Can we create an ML model to determine if correlations exist?

Subject Keywords

Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Uganda
Longitude
32.5208°
Latitude
1.0953°

Content

How to Cite

Strong, S. (2019). Machine Learning Uganda Borehole Failure, HydroShare, https://doi.org/10.4211/hs.cf0e4c7d6a41457ebcea2ffc397b712d

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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